DocumentCode
2678252
Title
An augmented virtual reality interface for assistive monitoring of smart spaces
Author
Ou, Shichao ; Karuppiah, Deepak R. ; Fagg, Andrew H. ; Riseman, Edward
Author_Institution
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
fYear
2004
fDate
14-17 March 2004
Firstpage
33
Lastpage
42
Abstract
In large scale surveillance applications, coherent presentation of data coming from myriad sensors becomes a problem. For example, tasks such as "locate an intruder" are no longer easy when the user is facing a room of monitors connected to hundreds of cameras. Therefore, there is a need for a system that allows the user to easily navigate the data space. Due to the scale of the application, such systems should also be robust with respect to hardware and software failures, as well as to varying bandwidth conditions. Our strategy is to first build software units that provide sensor abstractions (e.g., location of a person, noise level of a predefined region) to lessen the burden of dealing with individual sensors from the user. Second, we project this abstract sensor information into an augmented virtual reality interface for presentation to the user. The AVR interface offers a common medium to display abstract information constructed from multiple sensors, as well as allowing access to raw sensor information such as video streams, or a mixture of both. Also, the AVR interface can synthesize views not serviced by the physical cameras. The sensor abstraction and the smooth transition between sensors enable the user to intuitively navigate the data space. Further more, through this interface, the user can dynamically reconfigure the system resources. We will demonstrate three scenarios highlighting the above mentioned features.
Keywords
augmented reality; intelligent sensors; ubiquitous computing; user interfaces; AVR interface; abstract sensor information; assistive monitoring; augmented virtual reality interface; bandwidth conditions; data space; hardware failures; large scale surveillance applications; noise level; raw sensor information; sensor abstractions; smart spaces; software failures; system resources; video streams; Application software; Bandwidth; Cameras; Hardware; Intelligent sensors; Large-scale systems; Navigation; Noise robustness; Surveillance; Virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications, 2004. PerCom 2004. Proceedings of the Second IEEE Annual Conference on
Print_ISBN
0-7695-2090-1
Type
conf
DOI
10.1109/PERCOM.2004.1276843
Filename
1276843
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